Senior Data Engineer (вакансія неактивна)

Would you like to create meaningful impact on people’s health?

About Calibrate
Calibrate is a health tech company revolutionizing metabolic health through our digital platform. Founded in 2020 in New York, we combine FDA-approved GLP-1 medications with AI-driven coaching and lifestyle support to deliver sustainable weight loss results.

Our Impact

• 15-19% average weight loss sustained over multiple years
• 17,000+ participants as of 2025
• 40% return rate for additional program cycles
• $127M+ raised from Founders Fund, Optum Ventures, and other top investors

A rapidly scaling health technology platform focused on delivering personalized metabolic outcomes is seeking a Senior Data Engineer to build and optimize secure, compliant, and scalable data infrastructure. The role spans both batch and real-time data processing across AWS and GCP environments to power analytics, personalization, and operational decision-making in a regulated (HIPAA) context.

Key skills and experience

• 5+ years of experience in data engineering or analytics engineering roles
• Advanced expertise with Postgres, Redshift, and BigQuery
• Strong background in AWS data services (S3, Lambda, Glue, Kinesis, IAM) and/or equivalent GCP streaming and storage services
• Proven hands-on experience with real-time data pipelines and event-driven architectures
• Proficiency in dbt, Fivetran, and automated ELT/ETL pipeline development
• Experience with data warehousing, transformation, performance tuning, and orchestration
• Familiarity with Looker for downstream analytics consumption
• Understanding of HIPAA compliance, data privacy standards, and best practices for securing Protected Health Information (PHI)

Primary responsibilities

• Design and build real-time and batch data pipelines for ingestion, transformation, and delivery across cloud platforms
• Develop and maintain scalable data models in Redshift and BigQuery for analytical, operational, and ML workloads
• Implement HIPAA-compliant data flows with role-based access control, encryption, and monitoring
• Optimize data architecture for performance, cost, and reliability in compliance with regulatory requirements
• Integrate internal and third-party data sources using Fivetran, streaming services, and cloud-native tooling
• Collaborate with analytics, product, and engineering teams to provide trusted, secure data for insights and personalization
• Enable real-time decision-making capabilities through event-driven architectures and streaming analytics pipelines

..and of course, your benefits:

• 20 fully paid business days of vacation
• 15 fully paid sick leaves
• 11+ fully paid public holidays
• compensation for health insurance and sport club membership
• ability to work from home or remotely 😊